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Spatial-Temporal Wind Power Probabilistic Forecasting Based on Time-Aware Graph Convolutional Network Journal article
Tang, Jingwei, Liu, Zhi, Hu, Jianming. Spatial-Temporal Wind Power Probabilistic Forecasting Based on Time-Aware Graph Convolutional Network[J]. IEEE Transactions on Sustainable Energy, 2024, 15(3), 1946-1956.
Authors:  Tang, Jingwei;  Liu, Zhi;  Hu, Jianming
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:8.6/8.6 | Submit date：2024/05/16
Time Zigzag  Flexible Convolution  Graph Convolutional Network  Heavy-tail Quantile Function  
Financing the future: Asymmetric association between green investment and electric vehicles Journal article
Tang, Nan, Ge, Yuemeng, Ali, Sajid, Nazar, Raima. Financing the future: Asymmetric association between green investment and electric vehicles[J]. ENERGY & ENVIRONMENT, 2024.
Authors:  Tang, Nan;  Ge, Yuemeng;  Ali, Sajid;  Nazar, Raima
Favorite | TC[WOS]:1 TC[Scopus]:0  IF:4.0/3.4 | Submit date：2024/06/05
Electric Vehicles  Green Investment  Quantile Estimation  
A novel time series probabilistic prediction approach based on the monotone quantile regression neural network Journal article
Hu, Jianming, Tang, Jingwei, Liu, Zhi. A novel time series probabilistic prediction approach based on the monotone quantile regression neural network[J]. Information Sciences, 2024, 654, 119844.
Authors:  Hu, Jianming;  Tang, Jingwei;  Liu, Zhi
Favorite | TC[WOS]:5 TC[Scopus]:6  IF:0/0 | Submit date：2024/02/22
Heavy-tail Distribution  Monotonicity  Neural Networks  Quantile Regression  
Regression-adjusted estimation of quantile treatment effects under covariate-adaptive randomizations Journal article
Liang Jiang, Peter C.B. Phillips, Yubo Tao, Yichong Zhang. Regression-adjusted estimation of quantile treatment effects under covariate-adaptive randomizations[J]. Journal of Econometrics, 2022, 234(2), 758-776.
Authors:  Liang Jiang;  Peter C.B. Phillips;  Yubo Tao;  Yichong Zhang
Favorite | TC[WOS]:2 TC[Scopus]:6  IF:9.9/6.7 | Submit date：2023/07/26
Covariate-adaptive Randomization  High-dimensional Data  Quantile Treatment Effects  Regression Adjustment  
Regression-Adjusted Estimation of Quantile Treatment Effects under Covariate-Adaptive Randomizations Journal article
Liang Jiang, Peter C.B. Phillips, Yubo Tao, Yichong Zhang. Regression-Adjusted Estimation of Quantile Treatment Effects under Covariate-Adaptive Randomizations[J]. Journal of Econometrics, 2022, 234(2), 758-776.
Authors:  Liang Jiang;  Peter C.B. Phillips;  Yubo Tao;  Yichong Zhang
Favorite | TC[WOS]:2 TC[Scopus]:6  IF:9.9/6.7 | Submit date：2022/09/15
Covariate-adaptive Randomization  High-dimensional Data  Regression Adjustment  Quantile Treatment Effects  
Deep-Quantile-Regression-Based Surrogate Model for Joint Chance-Constrained Optimal Power Flow with Renewable Generation Journal article
Ge Chen, Hongcai Zhang, Hongxun Hui ,, Yonghua Song. Deep-Quantile-Regression-Based Surrogate Model for Joint Chance-Constrained Optimal Power Flow with Renewable Generation[J]. IEEE Transactions on Sustainable Energy, 2022, 14(1), 657-672.
Authors:  Ge Chen;  Hongcai Zhang;  Hongxun Hui ,;  Yonghua Song
Favorite | TC[WOS]:10 TC[Scopus]:11  IF:8.6/8.6 | Submit date：2023/01/30
Deep Quantile Regression  Distributed Renewable Generation  Distribution Network  Joint Chance Constraints  Optimal Power Flow  
Ensemble Deep Learning-Based Non-Crossing Quantile Regression for Nonparametric Probabilistic Forecasting of Wind Power Generation Journal article
Cui,Wenkang, Wan,Can, Song,Yonghua. Ensemble Deep Learning-Based Non-Crossing Quantile Regression for Nonparametric Probabilistic Forecasting of Wind Power Generation[J]. IEEE Transactions on Power Systems, 2022, 38(4), 3163-3178.
Authors:  Cui,Wenkang;  Wan,Can;  Song,Yonghua
Favorite | TC[WOS]:22 TC[Scopus]:25  IF:6.5/7.4 | Submit date：2023/08/03
Deep Learning  Ensemble  Non-crossing  Probabilistic Forecasting  Quantile Regression  Wind Power  
Nonparametric Probabilistic Optimal Power Flow Journal article
Li, Yunyi, Wan, Can, Chen, Dawei, Song, Yonghua. Nonparametric Probabilistic Optimal Power Flow[J]. IEEE Transactions on Power Systems, 2022, 37(4), 2758-2770.
Authors:  Li, Yunyi;  Wan, Can;  Chen, Dawei;  Song, Yonghua
Favorite | TC[WOS]:14 TC[Scopus]:16  IF:6.5/7.4 | Submit date：2022/05/13
Probabilistic Optimal Power Flow  Critical Region Integral  Wind Power  Quantile  Uncertainty  
Structural health monitoring by a novel probabilistic machine learning method based on extreme value theory and mixture quantile modeling Journal article
Sarmadi, Hassan, Yuen, Ka Veng. Structural health monitoring by a novel probabilistic machine learning method based on extreme value theory and mixture quantile modeling[J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2022, 173, 109049.
Authors:  Sarmadi, Hassan;  Yuen, Ka Veng
Favorite | TC[WOS]:51 TC[Scopus]:58  IF:7.9/8.0 | Submit date：2022/05/13
Generalized Extreme Value  Machine Learning  Mixture Quantile  Probabilistic Anomaly Detection  Structural Health Monitoring  Threshold Estimation  
Conformalized temporal convolutional quantile regression networks for wind power interval forecasting Journal article
Hu, Jianming, Luo, Qingxi, Tang, Jingwei, Heng, Jiani, Deng, Yuwen. Conformalized temporal convolutional quantile regression networks for wind power interval forecasting[J]. ENERGY, 2022, 248, 123497.
Authors:  Hu, Jianming;  Luo, Qingxi;  Tang, Jingwei;  Heng, Jiani;  Deng, Yuwen
Favorite | TC[WOS]:27 TC[Scopus]:33  IF:9.0/8.2 | Submit date：2022/05/13
Conformalized Quantile Regression  Temporal Convolutional Network  Wind Power Interval Prediction